Go to DBLP homepageFrom the binomial reshuffling model to Poisson distribution of money
Abstract: We present a novel reshuffling exchange model and investigate its long time behavior. In this model, two individuals are picked randomly, and their wealth $ X_i $ and $ X_j $ are redistributed by flipping a sequence of fair coins leading to a binomial distribution denoted $ B\circ (X_i+X_j) $. This dynamics can be considered as a natural variant of the so-called uniform reshuffling model in econophysics. May refer to Cao, Jabin and Motsch (2023), Dragulescu and Yakovenko (2000). As the number of individuals goes to infinity, we derive its mean-field limit, which links the stochastic dynamics to a deterministic infinite system of ordinary differential equations. Our aim of this work is then to prove (using a coupling argument) that the distribution of wealth converges to the Poisson distribution in the $ 2 $-Wasserstein metric. Numerical simulations illustrate the main result and suggest that the polynomial convergence decay might be further improved. Keywords: Econophysics, Markov chain, Agent-based model, mean-field limit, coupling, wasserstein metric Citation: Fei Cao, Nicholas F. Marshall. From the binomial reshuffling model to Poisson distribution of money[J]. Networks and Heterogeneous Media, 2024, 19(1): 24-43. doi: 10.3934/nhm.2024002 Related Papers:
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